Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
As patients increasingly access radiology reports through electronic portals, imaging reports are no longer private technical communications between clinicians. They have become patient-facing texts that can shape how people understand pain, ageing, bodily damage, activity, and treatment choices. In orthopedics, terms such as degeneration, tear, collapse, compression, severe narrowing, and metapho...
Nucleic acid therapeutics offer promise for precision cancer treatment, but are limited by inaccurate target selection and inefficient delivery. This work presents a therapeutic platform combining dual machine learning models (LASSO and RSF)-based miRNA target screening with a modular biomimetic nanocarrier system. Systematic screening and experimental validation identify miR-873 as a previously u...
The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. ...
Aging is a significant risk factor of neurodegenerative disorders (NDs) such as Huntington's, Alzheimer's, Parkinson's, amyotrophic lateral sclerosis ...
Ultrasound imaging is widely used across cardiology, hepatology, obstetrics, breast and thyroid imaging, and emergency care because it is real-time, n...
Menstrual hygiene management poses challenges for girls with intellectual disability, particularly when instruction is limited to informal or unsystem...
SASH1 is a signal adaptor protein involved in cell growth, apoptosis, and immune regulation, and has been increasingly studied in tumor and immune cel...
Nanoparticle (NP)-based drug delivery systems hold great promise for cancer treatment. However, designing efficient NP formulations for clinical usage...
Drug delivery, serving as a pivotal link between pharmaceutical innovation and clinical implementation, faces numerous challenges in achieving optimal...
Poly (lactic-co-glycolic acid) (PLGA) microparticles are widely used as biodegradable drug-delivery carriers, where particle size critically governs d...
RNA viruses are a diverse and rapidly evolving group of pathogens that significantly contribute to worldwide morbidity and mortality, propelled by ele...
OBJECTIVES: Advanced ovarian cancer survivorship requires multidisciplinary coordination. As patients use large language models (LLMs) as clinical nav...
BACKGROUND AND AIM: Artificial Intelligence (AI) has been increasingly used in cancer survivorship to support symptom management. This scoping review ...
OBJECTIVE: Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction requiring surgical intervention. Prolonged length of st...
This systematic review aimed to evaluate the performance and clinical validation of artificial intelligence (AI) and rule-based methods for skeletal m...
The integration of artificial intelligence and robotics into clinical medicine is no longer a question of whether but of how, and physicians currently...
INTRODUCTION: Pathogenic free-living amoebae, including Naegleria fowleri, Acanthamoeba spp. and Balamuthia mandrillaris, are rare but frequently fata...
As an important barrier tissue, the intestinal mucosa is responsible for regulating immunity, absorbing nutrients, and maintaining microbial homeostas...
Extracellular vesicles (EVs) have emerged as promising tools for early cancer detection, therapeutic monitoring, and drug delivery in oncology. Artifi...
Messenger RNA (mRNA) therapeutics have revolutionized biomedicine by enabling direct in vivo programming of immune cells. This strategy bypasses the c...